| title: README | |
| emoji: 📊 | |
| colorFrom: purple | |
| colorTo: gray | |
| sdk: static | |
| pinned: false | |
| Multilingual language models are typically large, requiring significant computational resources. | |
| Can we create multilingual models that maintain performance comparable to their larger models while reducing size, latency and inference speeds? | |
| Potential Techniques: | |
| - Pruning | |
| - SparseGPT | |
| - ShortGPT | |
| - Knowledge Distillation | |
| - Quantization | |